I do not know what the problem is because I cannot even reproduce it. I
will fix it as soon as I can figure it out. In the meantime, I've
submitted this pull request to skip the test, so builds do not fail:
[1]https://github.com/scikit-learn/scikit-learn/pull/2415
On Mon, Sep 2, 2013, at 08:51 AM, Mathieu Blondel wrote:
Kemal, any idea how to fix this bug? Right now, almost every commit in
master triggers a failure in jenkins.
Mathieu
On Mon, Aug 26, 2013 at 7:09 PM, Olivier Grisel
<[2][email protected]> wrote:
The failure was caused by the merge of the memory optimized
implementation of the dot product that probably causes slight changes
in the way the data is generated.
I think the real issue is that this test makes ARPACK very sensitive
to small changes: would it be possible to change the test to use a
dataset that is better conditioned to make ARPACK more robust to small
input changes?
Here is the full log:
[3]https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-nump
y-1.6.2-scipy-0.10.1/2705/consoleFull
The traceback is:
======================================================================
ERROR:
sklearn.cluster.bicluster.tests.test_spectral.test_perfect_checkerboard
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/nose/c
ase.py",
line 197, in runTest
self.test(*self.arg)
File
"/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/skle
arn/cluster/bicluster/tests/test_spectral.py",
line 178, in test_perfect_checkerboard
model.fit(S)
File
"/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/skle
arn/cluster/bicluster/spectral.py",
line 126, in fit
self._fit(X)
File
"/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/skle
arn/cluster/bicluster/spectral.py",
line 444, in _fit
u, v = self._svd(normalized_data, n_sv, n_discard)
File
"/home/slave/jenkins/workspace/python-2.7-numpy-1.6.2-scipy-0.10.1/skle
arn/cluster/bicluster/spectral.py",
line 142, in _svd
u, _, vt = svds(array, k=n_components, ncv=self.n_svd_vecs)
File
"/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/scipy/
sparse/linalg/eigen/arpack/arpack.py",
line 1597, in svds
eigvals, eigvec = eigensolver(XH_X, k=k, tol=tol ** 2)
File
"/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/scipy/
sparse/linalg/eigen/arpack/arpack.py",
line 1545, in eigsh
params.iterate()
File
"/home/slave/virtualenvs/cpython-2.7/lib/python2.7/site-packages/scipy/
sparse/linalg/eigen/arpack/arpack.py",
line 578, in iterate
raise ArpackError([4]self.info, infodict=self.iterate_infodict)
ArpackError: ARPACK error 3: No shifts could be applied during a cycle
of the Implicitly restarted Arnoldi iteration. One possibility is to
increase the size of NCV relative to NEV.
--
Olivier
[5]http://twitter.com/ogrisel - [6]http://github.com/ogrisel
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References
1. https://github.com/scikit-learn/scikit-learn/pull/2415
2. mailto:[email protected]
3.
https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/2705/consoleFull
4. http://self.info/
5. http://twitter.com/ogrisel
6. http://github.com/ogrisel
7. http://pubads.g.doubleclick.net/gampad/clk?id=48897511&iu=/4140/ostg.clktrk
8. mailto:[email protected]
9. https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
10.
http://pubads.g.doubleclick.net/gampad/clk?id=58040911&iu=/4140/ostg.clktrk
11. mailto:[email protected]
12. https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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and advance your career. Get an incredible 1,500+ hours of step-by-step
tutorial videos with LearnDevNow. Subscribe today and save!
http://pubads.g.doubleclick.net/gampad/clk?id=58040911&iu=/4140/ostg.clktrk
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